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Course Information
- Course Title: Data Engineering Lifecycle
- Course Code: 141
- Tracks: Technical Track
- Series: Fundamentals of the Ed-Fi Solution (100 Series)
- Course Prerequisites:
- Learning Delivery Mode: Self-Guided Course (Online)
- Text
- Time to Complete: TBD minutes
- Registration Options: Online
- Link to online course
Course Overview
Description
This course focuses on the data engineering lifecycle. This includes following data through its many stages:
- Generation of data in a source system
- Vendor-owned push of data from the source system to the Ed-Fi API
- Extract and load of Ed-Fi API and non Ed-Fi data sources into a data lake (storage layer)
- Transformation of raw data into facts and dims using dimensional modeling (star schema) as a design process for analytics
- Creation of data products from the analytics layer
- DataOps and the cloud as a way to focus more on data and less on infrastructure
Who Should Enroll
- Students who are enrolled in the Analytics Engineering Pathway
- College students or non-K12 data people who desire to develop K12-specific engineering expertise
Course Outcome
By the end of this course, Academy students will be able to:
- Apply the lifecycle in their own work to be able to visualize how data moves from source system to data product.
Learning Objectives
The learning objectives for this course are:
- Understand the data engineering lifecycle
- Understand the core tools and technologies used in the lifecycle, including Ed-Fi technology
Course Sections
- Introduction
- Lifecycle
- Wrap up